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README.md

@@ -1,32 +1,64 @@
----
-license: apache-2.0
-dataset_info:
-  features:
-  - name: Bahnar
-    dtype: string
-  - name: English
-    dtype: string
-  - name: Vietnamese
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 3813305
-    num_examples: 9275
-  - name: test
-    num_bytes: 850954
-    num_examples: 1987
-  - name: validation
-    num_bytes: 846398
-    num_examples: 1988
-  download_size: 2994290
-  dataset_size: 5510657
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
-  - split: validation
-    path: data/validation-*
----
+---
+license: mit
+task_categories:
+- translation
+language:
+- en
+- vi
+- bah
+tags:
+- translation
+- multilingual
+- bahnar
+- vietnamese
+- english
+size_categories:
+- 10K<n<100K
+---
+
+# EnViBa Dataset
+
+This dataset contains parallel translations between three languages:
+- **Bahnar** (bah): An Austroasiatic language spoken in Vietnam and Cambodia
+- **English** (en)
+- **Vietnamese** (vi)
+
+## Dataset Structure
+
+The dataset contains three splits:
+- `train`: Training data
+- `test`: Test data  
+- `validation`: Validation data
+
+Each example has three fields:
+- `bahnar`: Text in Bahnar language
+- `english`: Text in English
+- `vietnamese`: Text in Vietnamese
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("21uyennt/enviba")
+
+# Access different splits
+train_data = dataset["train"]
+test_data = dataset["test"]
+validation_data = dataset["validation"]
+
+# Example usage
+for example in train_data:
+    print("Bahnar:", example["bahnar"])
+    print("English:", example["english"])
+    print("Vietnamese:", example["vietnamese"])
+    print("---")
+```
+
+## Languages
+
+- **Bahnar**: An Austroasiatic language with approximately 174,000 speakers
+- **English**: Global lingua franca
+- **Vietnamese**: Official language of Vietnam
+
+This dataset enables multilingual translation research and can be used for training translation models between these language pairs.